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Penerapan Association Rule Untuk Menentukan Lama Studi Mahasiswa di Universitas Graha Nusantara Padangsidimpuan Alwendi; Andi Saputra Mandopa
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 2 No. 1 (2023): January-June
Publisher : Gayaku Publisher

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Abstract

Very high information needs are sometimes not matched by providing adequate information, so that information must be extracted again in large data. By using the association rule technique, we can obtain information from large data such as data in universities. The purpose of this study was to determine the pattern of length of study of F-KIP students at Graha Nusantara University. by using the association rule data mining method and comparing the a priori algorithm and the hash-based algorithm. The data used is main data of F-KIP Graha Nusantara University which is processed using association rule data mining techniques with a priori algorithms and hash-based algorithms with a minimum support of 1% and a minimum trust of 1%. The results of data processing with the a priori algorithm are the same as the results of data processing with hash-based algorithms, namely 49 2-itemset combinations. The pattern that is formed is that 7.5% of graduates from the mathematics department study for more than 5 years with a confidence score of 38.5%.
Implementasi Aplikasi Sistem Pakar Untuk Mendiagnosa Penyakit Insomnia Menggunakan Metode Backward Chaining alwendi; Mandopa, andi saputra
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 3 No. 1 (2024): January-June
Publisher : Gayaku Publisher

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Abstract

Health is the most important thing for everyone. Without a strong and healthy body, a person will have difficulty carrying out activities. Due to limited information about children's illnesses, it is difficult for parents to predict what disease their child will suffer from. This is something new for new parents. Parents want to hand over the diagnosis of the disease to a health professional or doctor. Insomnia is a sleep disorder that attacks people who feel tired or lethargic throughout the day, have difficulty falling asleep continuously, or wake up in the middle of the night and cannot go back to sleep. The causes include psychological factors, physical factors, environmental factors, and lifestyle habits. For some people, the cost of consulting a specialist or expert is not cheap. Therefore, many parents choose to raise their children themselves. Because treatment of the disease is delayed, the disease becomes more severe and difficult to cure. Lack of parental knowledge about the symptoms of diseases that occur in children. The role of pediatricians in treating children's illnesses is very important, but is often hampered by the limited number of pediatricians and the large number of people who need treatment at the same time. To reduce these limitations, it is necessary to create a tool in the form of an expert system. According to the capabilities of an expert system, it is a branch of artificial intelligence, namely it can act like an expert in a certain field of science.
Sistem Pendukung Keputusan untuk Menentukan Mahasiswa Terbaik Menggunakan Metode Complex Proportional Assessment alwendi; Lela Budiarti; Andi Saputra Mandopa
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 3 No. 2 (2024): July - December
Publisher : Gayaku Publisher

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Abstract

The aim of this research is to assist the head of the study program in determining the best students each semester. The decision support system is part of a computer-based information system that is used to support decision making in an agency or company. Decision support systems are built to make it easier for someone to make decisions. The system can make a decision according to the considerations that are the criteria in this research, including skills, character, language skills, age, place of residence. The COPRAS method or Combination of Ratio Assessment is a multi-criteria decision analysis method used to overcome complexity and uncertainty in decision making. This method utilizes a ratio approach to evaluate the alternatives involved in a decision. This research aims to obtain ranking results of outstanding students quickly and objectively without requiring a lot of effort. The results of this ranking will help Graha Nusantara Padangsidimpuan University, especially the Faculty of Engineering, Computer Science Study Program, in selecting outstanding students. From the conclusion above, the student selected to be in first place is A3 in the name of indah putri with a score of 99.972 in first place.